A practical approach to individual thermal comfort and energy optimization problem

S. Ari, P. Wilcoxen, H. E. Khalifa, J. F. Dannenhoffer, C. Isik

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

This paper presents an intelligent modeling approach to individual thermal comfort and energy optimization problem, which aims to minimize energy consumption and improve thermal environmental conditions for human occupancy. In our previous study, this optimization problem was solved under the assumption of the existence of information about the thermal comfort preferences of individuals. A traditional optimization method is used to calculate off-line optimum solutions to this problem at numerous operating points. These solutions are used to train an intelligent system such as a fuzzy logic system under the same assumption resulting in a control system which encapsulates the behavior of the collection of optimum solutions. This methodology is named "Intelligent Modeling of Optimized Systems" (IMOS) in this paper. However, it is hard to gather information about individuals' thermal comfort preferences in practice. The sensitivity analysis on the optimization problem and its approximation with fuzzy logic system regarding individual thermal comfort preferences has been investigated in this paper.

Original languageEnglish (US)
Title of host publication2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
DOIs
StatePublished - Sep 11 2008
Event2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 - New York City, NY, United States
Duration: May 19 2008May 22 2008

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

Other2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008
CountryUnited States
CityNew York City, NY
Period5/19/085/22/08

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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    Ari, S., Wilcoxen, P., Khalifa, H. E., Dannenhoffer, J. F., & Isik, C. (2008). A practical approach to individual thermal comfort and energy optimization problem. In 2008 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2008 [4531261] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2008.4531261